English

Generalized multiscale finite element method for a strain-limiting nonlinear elasticity model

Numerical Analysis 2022-05-24 v1 Numerical Analysis Analysis of PDEs

Abstract

In this paper, we consider multiscale methods for nonlinear elasticity. In particular, we investigate the Generalized Multiscale Finite Element Method (GMsFEM) for a strain-limiting elasticity problem. Being a special case of the naturally implicit constitutive theory of nonlinear elasticity, strain-limiting relation has presented an interesting class of material bodies, for which strains remain bounded (even infinitesimal) while stresses can become arbitrarily large. The nonlinearity and material heterogeneities can create multiscale features in the solution, and multiscale methods are therefore necessary. To handle the resulting nonlinear monotone quasilinear elliptic equation, we use linearization based on the Picard iteration. We consider two types of basis functions, offline and online basis functions, following the general framework of GMsFEM. The offline basis functions depend nonlinearly on the solution. Thus, we design an indicator function and we will recompute the offline basis functions when the indicator function predicts that the material property has significant change during the iterations. On the other hand, we will use the residual based online basis functions to reduce the error substantially when updating basis functions is necessary. Our numerical results show that the above combination of offline and online basis functions is able to give accurate solutions with only a few basis functions per each coarse region and updating basis functions in selected iterations.

Keywords

Cite

@article{arxiv.1812.09347,
  title  = {Generalized multiscale finite element method for a strain-limiting nonlinear elasticity model},
  author = {Shubin Fu and Eric Chung and Tina Mai},
  journal= {arXiv preprint arXiv:1812.09347},
  year   = {2022}
}

Comments

19 pages, 2 figures, submitted to Journal of Computational and Applied Mathematics

R2 v1 2026-06-23T06:54:05.526Z